Application of PR cosine-modulated filter bank to multichannel superresolution radar imaging

In this paper, we present a multichannel superresolution radar imaging (MSRI) approach. Our approach for extracting the two-dimensional (2-D) scattering center model is based on combination of the cosine-modulated filter bank with perfect reconstruction condition (PR-CMFB) and TLS-ESPRIT with the matrix enhancement (TLS-ESPRIT-ME) method. The basic idea underlying the proposed approach is that the analysis banks are first used to implement the multichannel decomposition of the scattering signal in the frequency-aspect domain, the synthesis banks are then used to recombine the decomposed signals, and to conveniently obtain several separable subregional signals with enhanced signal-to-noise ratio (SNR) and without loss of information. Thus the TLS-ESPRIT-ME method can be employed in every subregion independently and simultaneously, making the approach efficient and possessing superior noise performance. The simulations show that such a combination works well and can be used for target identification using low-resolution radars efficiently.